Meta-Analytic Structural Equation Modelling
This book explains how to employ MASEM, the combination of meta-analysis (MA) and structural equation modelling (SEM). It shows how by using MASEM, a single model can be tested to explain the relationships between a set of variables in several studie
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Suzanne Jak
Meta-Analytic Structural Equation Modelling
SpringerBriefs in Research Synthesis and Meta-Analysis Series editors Michael Bosnjak, Mannheim, Germany Mike W.L. Cheung, Singapore, Singapore Wolfgang Viechtbauer, Maastricht, The Netherlands
More information about this series at http://www.springer.com/series/10240
Suzanne Jak
Meta-Analytic Structural Equation Modelling
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Suzanne Jak Faculty of Social and Behavioural Sciences Utrecht University Utrecht The Netherlands
Part of this work was supported by Rubicon-grant 446-14-003 from the Netherlands Organization for Scientific Research (NWO).
ISSN 2193-0015 ISSN 2193-0023 (electronic) SpringerBriefs in Research Synthesis and Meta-Analysis ISBN 978-3-319-27172-9 ISBN 978-3-319-27174-3 (eBook) DOI 10.1007/978-3-319-27174-3 Library of Congress Control Number: 2015957127 © The Author(s) 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by SpringerNature The registered company is Springer International Publishing AG Switzerland
Preface
Meta-analysis (MA) is a prominent statistical tool in many research disciplines. It is a statistical method to combine the data of several independent studies, in order to draw overall conclusions based on the pooled data. Structural equation modeling (SEM) is a technique that tests the relations between a set of variables in one model, for example in a path model or a factor model. In a SEM analysis, all hypothesized relations between the variables are tested simultaneously. The overall fit of the model can be evaluated using several fit indices. SEM does not need raw data, but fits structural equation models to covariance (or correlation) matrices directly. The combination of meta-analysis and structural equation modeling for the purpose of testing hypothesized models is called meta-analytic structural equation modeling (MASEM). MASEM is a new and promising field of research. With MASEM, a single model can b
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